ListarPonencias (Lenguajes y Sistemas Informáticos) por materia "Forecasting"
Mostrando ítems 1-6 de 6
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Ponencia
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
(Springer, 2016)A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted ...
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A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
(Springer Link, 2023-08)Renewable energies are currently experiencing promising growth as an alternative solution to minimize the emission of ...
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Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
(Springer Link, 2023-09)This paper explores the use of deep learning techniques for detecting sleep apnea. Sleep apnea is a common sleep disorder ...
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Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
(Springer Link, 2023-10)Traditional time series forecasting models often use all available variables, including potentially irrelevant or noisy ...
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Evaluation of the transformer architecture for univariate time series forecasting
(Springer, 2021)The attention-based Transformer architecture is earning in- creasing popularity for many machine learning tasks. In this ...
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Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming
(Springer, 2021)This paper presents a new forecasting algorithm for time series in streaming named StreamWNN. The methodology has two ...